Люди хотят практиковаться, прежде чем рисковать реальными деньгами. Симуляция продает надежду быть достаточно компетентным, чтобы в конечном итоге инвестировать, а слой анализа журнала продает надежду стать человеком, чье суждение со временем улучшается. Если симуляция не отражает реальную рыночную механику, она кажется игрушкой и теряет доверие. Проскальзывание, транзакционные издержки и реалистичное влияние цены должны быть смоделированы.
Build a paper trading simulation platform called "Paper" — a realistic, risk-free environment for learning to trade and invest. Core features: - Portfolio setup: user starts with $100,000 in virtual cash. Real-time stock and ETF prices via Yahoo Finance or Alpha Vantage API - Trade execution: market and limit orders supported. Simulate 0.1% slippage on market orders. Commission of $1 per trade (realistic friction without being punitive) - Performance dashboard: P&L chart (daily), total return, annualized return, win rate, average gain and loss, Sharpe ratio, and current sector exposure — all updated with each trade. Built with recharts - Trade journal: required field on every position close — "What was my thesis entering this trade? What happened? What will I do differently?" Three fields, each max 200 characters. Cannot close a position without completing the journal - Behavioral analysis: [LLM API] analyzes the last 20 trade journal entries and identifies recurring behavioral patterns — "You consistently exit winning positions early when they approach round-number price levels" — surfaced monthly - Leaderboard: optional, weekly-resetting leaderboard among friend groups — ranked by risk-adjusted return, not raw P&L Stack: React, Yahoo Finance or Alpha Vantage for market data, [LLM API] for behavioral analysis, recharts. Terminal-inspired design — data dense, no decorative elements.
